Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/30092 |
Resumo: | Adapting technological environments to users is a concern since Mark Weiser launched the concept of ubiquitous computing and, in order to do that, is necessary to understand users’ characteristics. In this context, the purpose of this paper is to present a study about students’ mobility habits within a university campus, having the intention of getting insights towards the best place to set an interactive public display and of predicting the main characteristics of the audience that will be present on that spot in forthcoming periods. Thus, the envisioned results of this work will allow the adaptation of the contents exhibited on the device to the audience. To perform the study, a set of logs of accesses to the university’s Wi-Fi was used, data mining techniques were implemented and forecasting models were built, using the line of work suggested by the CRISP-DM methodology. As result, students profile were built based on past wireless accesses and on their scholar schedules, and three time series models were used (Holt-Winters, Seasonal Naive and Simple Exponential Smoothing) to predict the presence of students on the envisioned spot in future periods. |
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Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platformAdaptive business intelligenceUbiquitous environmentsInteractive public displaysPrediction techniquesCRISP-DMEngenharia e Tecnologia::Outras Engenharias e TecnologiasScience & TechnologyAdapting technological environments to users is a concern since Mark Weiser launched the concept of ubiquitous computing and, in order to do that, is necessary to understand users’ characteristics. In this context, the purpose of this paper is to present a study about students’ mobility habits within a university campus, having the intention of getting insights towards the best place to set an interactive public display and of predicting the main characteristics of the audience that will be present on that spot in forthcoming periods. Thus, the envisioned results of this work will allow the adaptation of the contents exhibited on the device to the audience. To perform the study, a set of logs of accesses to the university’s Wi-Fi was used, data mining techniques were implemented and forecasting models were built, using the line of work suggested by the CRISP-DM methodology. As result, students profile were built based on past wireless accesses and on their scholar schedules, and three time series models were used (Holt-Winters, Seasonal Naive and Simple Exponential Smoothing) to predict the presence of students on the envisioned spot in future periods.Association for Computing Machinery (ACM)Universidade do MinhoCasal, João Afonso VieiraCledou, Guillermina2014-05-162014-05-16T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/30092eng978-1-4503-2713-810.1145/2618168.2618179http://dl.acm.org/citation.cfm?id=2618179info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T06:20:38Zoai:repositorium.sdum.uminho.pt:1822/30092Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T06:20:38Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
title |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
spellingShingle |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform Casal, João Afonso Vieira Adaptive business intelligence Ubiquitous environments Interactive public displays Prediction techniques CRISP-DM Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
title_short |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
title_full |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
title_fullStr |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
title_full_unstemmed |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
title_sort |
Understanding students' mobility habits towards the implementation of an adaptive ubiquitous platform |
author |
Casal, João Afonso Vieira |
author_facet |
Casal, João Afonso Vieira Cledou, Guillermina |
author_role |
author |
author2 |
Cledou, Guillermina |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Casal, João Afonso Vieira Cledou, Guillermina |
dc.subject.por.fl_str_mv |
Adaptive business intelligence Ubiquitous environments Interactive public displays Prediction techniques CRISP-DM Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
topic |
Adaptive business intelligence Ubiquitous environments Interactive public displays Prediction techniques CRISP-DM Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
description |
Adapting technological environments to users is a concern since Mark Weiser launched the concept of ubiquitous computing and, in order to do that, is necessary to understand users’ characteristics. In this context, the purpose of this paper is to present a study about students’ mobility habits within a university campus, having the intention of getting insights towards the best place to set an interactive public display and of predicting the main characteristics of the audience that will be present on that spot in forthcoming periods. Thus, the envisioned results of this work will allow the adaptation of the contents exhibited on the device to the audience. To perform the study, a set of logs of accesses to the university’s Wi-Fi was used, data mining techniques were implemented and forecasting models were built, using the line of work suggested by the CRISP-DM methodology. As result, students profile were built based on past wireless accesses and on their scholar schedules, and three time series models were used (Holt-Winters, Seasonal Naive and Simple Exponential Smoothing) to predict the presence of students on the envisioned spot in future periods. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-05-16 2014-05-16T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/30092 |
url |
http://hdl.handle.net/1822/30092 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-1-4503-2713-8 10.1145/2618168.2618179 http://dl.acm.org/citation.cfm?id=2618179 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Association for Computing Machinery (ACM) |
publisher.none.fl_str_mv |
Association for Computing Machinery (ACM) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817544939825790976 |